Abstract
Lighting, camera resolution and focus, skew (shear), and processing power all contribute to the difficulties in developing effective OCR applications using mobile phones. We propose a novel algorithm using PCA, divergence, and a global neural network to develop an OCR package that levers user-specific parameters with a neural network trained on an extended data set. 1
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CITATION STYLE
APA
Hymes, K., & Lewin, J. (2009). OCR for Mobile Phones. Stanford Feb, 1–5. Retrieved from http://scholar.google.com/citations?view_op=view_citation&continue=/scholar%3Fhl%3Den%26as_sdt%3D0,5%26scilib%3D1%26scioq%3Dphone%2Bocr&citilm=1&citation_for_view=LVLO8wUAAAAJ:IjCSPb-OGe4C&hl=en&oi=p
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